Triple

T20836684
Position Surface form Disambiguated ID Type / Status
Subject Nancy Lynch E512975 entity
Predicate notableStudent P4838 FINISHED
Object Maurice Herlihy NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maurice Herlihy | Statement: [Nancy Lynch, notableStudent, Maurice Herlihy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice Herlihy
Context triple: [Nancy Lynch, notableStudent, Maurice Herlihy]
  • A. Maurice Herlihy chosen
    Maurice Herlihy is a prominent computer scientist known for his foundational work in concurrent and distributed computing, particularly in the theory and design of synchronization and transactional memory.
  • B. Pierre Bourne
    Pierre Bourne is an American record producer and rapper best known for his innovative, melodic trap beats and frequent collaborations with artists like Playboi Carti.
  • C. Ed Herlihy
    Ed Herlihy was an American newsreel narrator and character actor known for his distinctive voice and frequent appearances in mid-20th-century film and television.
  • D. Tim Herlihy
    Tim Herlihy is an American screenwriter and producer best known for his long-running collaboration with Adam Sandler on numerous comedy films.
  • E. Thomas Origer
    Thomas Origer is an American businessman best known for owning the short-lived World Football League team the Chicago Fire in the 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c326daec8190bd4caa41a4b38833 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.